Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

Abstract: With the rapid growth of the on-demand economy, logistics companies and merchants increasingly struggle to meet customer demands in dynamic and uncertain conditions. This paper studies the ...

Clinical trials underrepresent women, children, and adults aged 65 years or older, so diabetes guidelines must be adapted to ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Once a TikTok wannabe, Instagram’s video feature is now a hit with users and advertisers. Can it make the leap to television?

For decades, Pakistan has struggled not only with corruption but with an equally damaging global and domestic perception of ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience ...

Let's borrow an analogy from another domain that has wrestled with automation, trust and safety: self-driving cars.

Why management education must stop fearing artificial intelligence and start embracing it to think deeply, question sharply, ...